Deeplearning4j is the first commercial-grade, open-source, distributed deep-learning library; designed to be used in business environments.
Deeplearning4j aims to be cutting-edge plug and play, more convention than configuration, which allows for fast prototyping for non-researchers.
Vast
... [More] support of scale out:
Hadoop, Spark and Akka + AWS et al
It includes both a distributed, multi-threaded deep-learning framework and a normal single-threaded deep-learning framework.
Iterative reduce net training.
First framework adapted for a micro-service architecture.
A versatile n-dimensional array class.
GPU integration [Less]
CUDPP is the CUDA Data Parallel Primitives Library. CUDPP is a library of data-parallel algorithm primitives such as parallel prefix-sum (”scan”), parallel sort and parallel reduction. Primitives such as these are important building blocks for a wide variety of data-parallel algorithms, including
... [More] sorting, stream compaction, and building data structures such as trees and summed-area tables. CUDPP runs on processors that support CUDA.
For detailed information, see the CUDPP Documentation. A good place to start is the simpleCUDPP Example. [Less]
Pseudo-Random Number Generation library for GPGPU. ShoveRand provides both implementations of Pseudo-Random Number Generators for GP-GPU and also a framework allowing developers to easily add their own PRNGs to ShoveRand.
LuxCoreRender is a physically based and unbiased rendering engine. Based on state of the art algorithms, LuxCoreRender simulates the flow of light according to physical equations, thus producing realistic images of photographic quality.
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